Species: Haemorhous mexicanus
Taxonomic class: Aves
Population type: free-ranging
Geographical location: Virginia Tech, Virginia, USA
Data collection technique: RFID
Interaction type: social projection bipartite
Definition of interaction: A machine learning algorithm was applied to identify clusters of detections on feeders. Next, the network was generated based on patterns of co-occurrence by individuals in the same feeding events. Asociations between birds were defined using the simple ratio index.
Edge weight type: simple_ratio_index
Total duration of data collection: 137 days
Time resolution of data collection (within a day): 1 sec
Time span of data collection (within a day): 24 hours
Note:
animal_6list of igraph objects
Adelman, James S., et al. "Feeder use predicts both acquisition and transmission of a contagious pathogen in a North American songbird." Proc. R. Soc. B. Vol. 282. No. 1815. The Royal Society, 2015.